Job description

Making a job change is a big decision. Why consider Revionics? You will be joining a team of remarkable colleagues who are passionate about creating and delivering leading-edge pricing solutions to the global retail market. You will become part of an exciting growth journey where we will do everything possible to help you reach and exceed your career dreams. Our colleagues have access to industry-leading training and development opportunities, and the chance to work in a global, diverse culture with offices in 9 countries. You will become part of an inclusive culture that is grounded in our Company s purpose: to make a difference for every colleague, every client, every day. Revionics’ leading retail pricing solutions leverage powerful artificial intelligence technologies, including predictive AI, conversational AI, generative AI and agentic AI, to optimize the retail pricing lifecycle and deliver real business value to our clients. Our solutions optimize prices for retail products that generate more than $3T in annual revenue for dozens of the world’s leading grocery, healthy & beauty, DIY and convenience retailers. We hope you’ll be part of taking innovative solutions to market with the worldwide leader in retail pricing. Revionics (an Aptos company) has an opening for a Senior ML engineer to join our US team located in the Austin area. Revionics’ market-leading platform drives the world’s largest retailers in terms of their product pricing, promotion and merchandising decisions worldwide. Over 33,000 retail locations and $200 B in annual revenue across grocery, drug, convenience, general merchandise, discount, sporting goods stores, fashion, and eCommerce sites optimize with Revionics’ solutions. The Science team, within the Product Org, plays a central role at the company and is responsible for the various AI & ML solutions (agentic systems, modeling, forecasting, optimization, etc). As an ML engineer on the Science team, you will get to be part of a skilled and diverse team while working with a mix of data scientists and engineers. You’ll not only have the opportunity to learn and develop state-of-art AI & ML techniques but also implement/roll-out modern engineering frameworks. Members of the team are expected to own the full Science feature lifecycle from research & development to prototyping to production and support. If you’re someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you! Sr. Machine Learning Engineer - Hybrid or On-Site working arrangement from the Revionics office based in Austin, Texas. About the Role: The ML engineer role is responsible for designing, building, deploying, and evolving the end-to-end AI & ML systems at Revionics’ – agentic capabilities, agent-to-agent (A2A) protocol, demand modeling and forecasting, optimization, product relationships, etc. – with an initial focus on our agentic and A2A roadmap. Who you are? Bachelor s/Master’s degree in a STEM field such as computer science. Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain. Proficiency with agentic development concepts such as Skills, Tools, Callbacks, code execution, token caching, compaction, multi-agent orchestration etc. Experience exposing agentic systems using MCP or A2A frameworks. Experience working in cloud native environments like GCP (BQ, Cloud run, GKE etc) or AWS. Strong track record of developing and scaling AI/ML systems within software products and production systems. Broader software development skills (backend/frontend, data engineering, APIs, system design, etc). Experience building scalable agentic systems in production. Comfort with LLM-based development platforms such as Claude or Codex. Strong algorithmic problem-solving skills and an analytical mindset. Proactively security-conscious mindset. Experience with large scale, high-performance systems and full software development life-cycle experience (CI/CD etc.). Enjoys tough technical challenges and is naturally intellectually curious. Seeks to drive change and influence others through clear and effective communication. What you’ll do? Build out new features on our Science roadmap: Agentic AI as we introduce new capabilities to our agent such as product relationships, rules management, and scenario optimization; A2A communication protocol; predictive and decision-making AI as we build out our unified forecasting and optimization capabilities; and our push to modernize legacy features and functionality. Work on full stack technology, from prototyping to production-ready software. Work with product, other engineers, and data scientists to translate ideas into new products, services and features. Expose and evangelize our Science team capabilities. Nice to have: Experience with modeling frameworks (e.g. Tensorflow, PyTorch, JAX). Experience with data orchestration tools such Airflow. Exposure to on the fly code execution for large files. Experience with data analysis / data science. Ability to translate research work into practical proofs of concept. We also look for: Passion Initiative and a Pioneering Spirit Quality orientation Resourcefulness and application Are you the person we’re looking for? Big picture thinker with laser focus. You have a unique ability to see both the forest and the trees. It’s what sets you apart from the rest. You start with a good understanding of the broader strategy, zoom in to assess one particular aspect of that strategy, and then zoom back out to see how changes to that particular area will affect the broader process. Expert relationship cultivator. Product managers think you’re a good partner -- because you are. Developers feel you respect their opinions -- because you do. You’re a true people person, a natural collaborator, and a highly sought-after resource. Quality orientation. You have proven success at writing quality user stories and analysis deliverables through the application of established criteria like INVEST and SMART. Your work is thoughtful, timely and valuable to the team. Resourcefulness and application. At Revionics, we have a pioneering spirit -- when we have questions, we find answers; when we’re faced with challenges, we find solutions. We turn to a variety of resources, including our own colleagues, our professional network, the Internet, articles and books -- whatever helps us get the job done. But it’s not just about using a variety of resources to gain knowledge -- it’s also about applying that knowledge to other areas of the job or business where it might make sense. The pay range for this position is between $120,000 - 170,000 plus Incentive Bonus. Starting salary may vary based on a number of factors including, but not limited to, the position being offered, location, education, training, and/or experience. We offer a competitive total rewards package including a base salary determined based on the role, experience, skill set, and location. For those in eligible roles, discretionary incentive compensation may be awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. By submitting an application for this job, you acknowledge that any personal data or personally identifiable information that you provide to us will be processed in accordance with our Candidate Privacy Notice. Submit your resume today! Learn about Revionics Global Culture

Requirements

Must-haves

Making a job change is a big decision.
Why consider Revionics?
If you’re someone who is ready to take on a challenge, drive change, and be part of an awesome team, this is the right role for you!
Sr. Machine Learning Engineer - Hybrid or On-Site working arrangement from the Revionics office based in Austin, Texas.
Who you are?
Bachelor s/Master’s degree in a STEM field such as computer science.
Proficiency in Python, SQL, and agentic frameworks such as ADK or LangChain.
Proficiency with agentic development concepts such as Skills, Tools, Callbacks, code execution, token caching, compaction, multi-agent orchestration etc.
Experience exposing agentic systems using MCP or A2A frameworks.
Experience working in cloud native environments like GCP (BQ, Cloud run, GKE etc) or AWS.
Strong track record of developing and scaling AI/ML systems within software products and production systems.
Broader software development skills (backend/frontend, data engineering, APIs, system design, etc).
Experience building scalable agentic systems in production.
Comfort with LLM-based development platforms such as Claude or Codex.
Strong algorithmic problem-solving skills and an analytical mindset.
Proactively security-conscious mindset.
Experience with large scale, high-performance systems and full software development life-cycle experience (CI/CD etc.).
Enjoys tough technical challenges and is naturally intellectually curious.
Seeks to drive change and influence others through clear and effective communication.

Nice-to-haves

Experience with modeling frameworks (e.g. Tensorflow, PyTorch, JAX).
Experience with data orchestration tools such Airflow.
Exposure to on the fly code execution for large files.
Experience with data analysis / data science.
Ability to translate research work into practical proofs of concept.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningpythonsqlgcpawsllmci/cdrest

Platform: workday
Effort: long

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